AI Machine Learning Expert

17 hours ago

Bengaluru, Karnataka, India beBeeGenerative Full time US$ 1,50,000 - US$ 2,50,000
Job Overview

As a Genai Data Scientist, you will be responsible for applying and implementing effective machine learning solutions with a significant focus on Generative AI.

Key Responsibilities:

  • Develop and implement data-driven product strategies in collaboration with cross-functional teams, focusing on GenAI applications to drive business impact.
  • Work with engineers and product managers to explore and apply GenAI techniques to enhance user experiences and improve automation.
  • Conduct in-depth analysis of customer data, market trends, and user insights to inform the development and improvement of GenAI-powered solutions.
  • Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests, particularly for GenAI-driven features.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Physics, Mathematics, Statistics, or a related field.
  • 3-5 years of hands-on experience in building data science applications and machine learning pipelines, with demonstrable experience in Generative AI projects.
  • Proficiency in Python for research and software development purposes, including common GenAI libraries and frameworks.
  • Experience with large datasets, distributed computing, and cloud computing platforms, such as AWS, Azure, GCP.
  • Strong proficiency in relational databases, such as SQL.
  • Experience in training, evaluating, and deploying machine learning models in production environments, with an interest in MLOps for GenAI.

Preferred Qualifications:

  • PhD in Statistics, Computer Science, or Engineering with specialization in machine learning, AI, or Statistics, with research or projects in Generative AI.
  • 5+ years of prior industry experience, with at least 1-2 years focused on GenAI applications.
  • Previous experience applying data science and GenAI techniques to customer success, product development, or user experience optimization.

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